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science, data science, or a related quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine
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will be developed to complement the consortium's other work on attention and interactions between brain regions. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7289-BRUGIO-011
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physics, hydrology, meteorology, or a related field. Programming experience (Python or R preferred). Fluent written and spoken English. Willingness to engage in fieldwork (sensor deployment and
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, scientific computing (in C/C++) and general coding (python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches
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reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic
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other related subjects. Experience working on experimental ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as
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architectures. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted
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. (More details of the grant can be found here: https://www.ssrc.edu.sg/projects/thematic-grant/lorenz2025/ ) (BIZ) Under Dr Lee Kwok Hao’s startup grant, the co-PI(s) plan to examine emerging issues at
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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., Python) • Support ongoing research projects related to Great Lakes hydrology and regional water systems • Collaborate with PhD students and research staff to integrate data-driven insights into